Staff Software Engineer, Data (Employer of Record)
Credit Acceptance
IndiaremotePosted 13 days ago
Skill Required
Data-EngineeringData-Platform-EngineeringCloud-Data-EngineeringSenior-Data-EngineeringSenior-Staff-Data-EngineerStaff-Backend-Software-EngineerSoftware-EngineerStaff-AI-Software-EngineerStaff-Data-ScientistData EngineerSoftware EngineerSoftware DeveloperDatabricksPythonScalaSparkUnityAgileJavaSassAWSFulltime
Key highlights
- CTC Range: ₹ 37,15,614 - ₹ 54,49,568
- Minimum 8 years of software engineering experience required
- Remote work from India
- Employer of Record (EoR) partnership for legal employment
- Agile/SCRUM and Waterfall SDLC experience required
- Cloud-native data engineering principles
Role overview
Credit Acceptance is an award-winning, financially stable used car finance company with a world-class culture driven by dedicated team members. In this role, you will work as a fully integrated member of a globally distributed team, partnering with U.S.-based business partners to design, build, and scale solutions that directly impact customers and operations. The position is remote from India, with legal employment through an Employer of Record (EoR) partner while aligning day-to-day with Credit Acceptance’s team and expectations.
Responsibilities
- Work remotely from India
- Design, build, and scale data pipelines across a variety of source systems and streams, including internal, third-party, and cloud-based platforms
- Interface with cross-functional teams to extract, load, and transform data using cloud-native data engineering principles
- Collaborate with stakeholders to understand data requirements and develop efficient strategies for data acquisition and integration
- Write unit-tests and validate software against acceptance criteria
- Evolve and transform the design and architecture of applications towards leading-edge technologies and practices
- Author, apply and advocate for team coding, documenting and testing standards
- Conduct impact analysis to proactively identify the impact of a change across multiple applications
- Learn the business process domain to better support the business and align technologies with the business process
- Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions
- Lead code reviews and communicate application changes
- Document code and projects so others can easily understand, maintain and support
- Debug problems which arise in production and propose effective solutions within the application and across multiple applications
- Read, write and review design documents
- Contribute to team's sprint commitments and actively participate in Agile practices, including recommendations for process improvement
- Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge
- Participate in the talent selection process
- Regularly overlap with U.S. business hours to support collaboration with global team members
- Remain compliant with company policies, processes and guidelines
- All other duties as assigned
- Attendance as required by department
Requirements
- Bachelor’s degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience
- Minimum 8 years of software engineering experience or comparable depth of experience, with recent experience building on cloud data platforms
- Experience in the lead role overseeing technical direction of a team of data engineering talent
- Strong understanding of one or more programming languages commonly used in data engineering (e.g., Python, Java, Scala)
- Practical experience in Software Development Life Cycle (SDLC) including Agile/SCRUM and Waterfall
- Experience designing scalable batch and streaming pipelines
- Strong understanding of data modeling, schema design, and lakehouse principles
- Experience with data governance, lineage, and quality frameworks
- Experience working on mission-critical enterprise-class applications
- Demonstrated ability to coach and mentor less experienced team members
- Ability to challenge the status quo and influence stakeholders to create innovative solutions
- Be collaborative with other team members, seeking a diversity of thought to meet business outcomes
- Ability to foster strong relationships across the organization
- Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day
- Experience and understanding of how to connect the work being done and how it drives business value
- Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership
Nice to have
- Expertise in Apache Spark
- Strong working knowledge of Databricks (e.g., Delta Lake, Unity Catalog, DLT, Auto Loader)
- Hands-on experience with AWS data services (e.g., S3, Glue, Lambda, MSK)
- Financial services or FinTech industry experience
Benefits
- Locally compliant payroll, benefits, and statutory coverage through the EoR partner
Additional details
- This role is hired through an Employer of Record (EoR) partner in India
- Legal employer will be the EoR partner, but day-to-day work, responsibilities, and performance expectations align with Credit Acceptance’s global team
- CTC Range: ₹ 37,15,614 - ₹ 54,49,568
- Total Compensation (CTC): Final CTC will be shared during the offer stage and will include all compensation components in detail as per EoR vendor's structure
- Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications
- Company Values: Positive, Respectful, Insightful, Direct, Earnest
- Competencies: Customer Empathy, Engineering Excellence, One Team, Owner’s Mindset
- Originally posted on Himalayas
